Design and Implementation of Real-Time Localization Algorithms Based on FPGA for Positioning and Tracking

被引：0
|
作者：
Zhang, You-Sheng [1 ]
Chen, Tsung-Hsuan [1 ]
Chiou, Yih-Shyh [1 ]
Chen, Shih-Lun [1 ]
Chen, Wei-Ting [1 ]
Lin, Yang-Ke [2 ]
Wen, Fu-Jung [1 ]
Lin, Ting-Lan [3 ]
机构：
[1] Chung Yuan Christian Univ, Dept Elect Engn, 200 Chung Pei Rd, Taoyuan 32023, Taiwan
[2] Chung Yuan Christian Univ, Commun Engn, 200 Chung Pei Rd, Taoyuan 32023, Taiwan
[3] Natl Taipei Univ Technol, Dept Elect Engn, 200 Chung Pei Rd, Taoyuan 32023, Taiwan
来源：
PROCEEDINGS OF THE 2019 IEEE EURASIA CONFERENCE ON IOT, COMMUNICATION AND ENGINEERING (ECICE) | 2019年
关键词：
FPGA; Kalman filter; positioning; tracking; trilateration;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Due to the rapid development of wireless communication applications, software implementations cannot fulfill real-time computing to satisfy the in-time requirement of location-based services (LBS) applications. This article presents a location-estimation technique based on positioning and tracking algorithms, and the high-performance algorithms are implemented in field programmable gate array (FPGA) approaches, which have the features of pipeline structure and real-time processing. In terms of the FPGA approaches, our results demonstrate that the performance of location accuracy of the proposed approaches is almost the same as those of the software implementations, and it has the advantage of processing time.
引用
收藏
页码：446 / 448
页数：3
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